More than half of surveyed IT professionals said monitoring data cost more than the infrastructure being watched, while many struggled to measure AI performance
PerturbAI, an AI-native biotechnology company, today announced results from its year-long collaboration with OpenAI to advance biomedical research and drug discovery. Working with Scripps Research, the teams developed an AI reasoning framework that helps scientists interpret large experimental datasets,
DeepSeek-V4.1-Flash-1017 is a minor update to DeepSeek-V4.1-Flash, delivering substantial improvements across reasoning, coding, agentic tasks, and visual benchmarks. Alongside these gains, the model reduces task execution time and output length, enabling users to complete…
Kuwait-based AI-powered market research startup theQA has raised more than $550,000 in a Pre-Seed funding round, backed by a Kuwaiti family office and strategic angel investors. Founded in 2025 by Ahmad Al Ebrahim and Hussain Ali AlNashaba, theQA provides a digital consumer…
Recently proposed self-supervised audio encoders learn powerful general-purpose representations of sound scenes, yet they are spatially blind. To supply the missing spatial representation of sound scenes, we introduce Bearings. Bearings is a self-supervised framework that…
Non-intrusive load monitoring (NILM) estimates appliance-level consumption from a whole-home meter, but appliance-specific models and fixed output inventories make coverage costly to extend. We present FM4NILM (Foundation Model for NILM), a single prompt-programmable model that…
Building gameplay features in a game engine requires more than code, as code that compiles and runs does not necessarily implement the requested gameplay. We introduce CraftBenchUE, an evaluation harness that runs agents in an isolated Unreal Engine environment, reconstructs…
Real time plasma state estimation for control of Tokamak devices are challenging due to the stringent latency requirements of the plasma control system (PCS). We present an end-to-end workflow for deploying a recurrent probabilistic neural network (RPNN) on FPGA hardware. We…